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Research Fellow - Environmental Informatics Hub Job No.: 680160 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment (with the possibility of an additional 2
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Quantitative Genetics, Statistical Genomics, Computational Biology, Plant Breeding, or a related field. Strong expertise in GWAS and post-GWAS analysis (e.g., fine mapping, gene network modelling, GWAS boosting
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Acknowledgment of Country Australia's Chief Scientist and the Office of the Chief Scientist recognise the first peoples of this nation and their ongoing cultural and spiritual connections to the lands, waters, seas, skies, and communities. We acknowledge First Nations peoples as the Traditional...
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 3 hours ago
and students within the ANU College of Science and Medicine conduct research and deliver a research-led education program that encompasses the breadth of the sciences, supported by extensive
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, Geospatial Sciences and Computer Science (Information Technology and Software Engineering). One of RMIT's top-performing research schools, we deliver research that addresses the 'real life questions' essential
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to this project. The ideal candidate will have: Strong skills in data science, user experience design, and/or web development, with the ability to apply human-centred computing/engineering methods to digital health
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 15 days ago
5 Sep 2025 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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: Demonstrated experience and knowledge of working with biogenic materials. Proven proficiency in the use of 3D printing technology. Proven proficiency in computational design and programming skills. Life Cycle
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Sciences, Geospatial Sciences and Computer Science (Information Technology and Software Engineering). One of RMIT's top-performing research schools, we deliver research that addresses the 'real life
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intelligence as a Professorial Research Fellow in AIML. To be successful you will need: A doctorate (or equivalent) and research experience in computer science, machine learning, AI/software engineering or a